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Criminalising Offensive Speech Made by AI Chatbots in Singapore

Reading time: 16 minutes

Written by Loh Yu Tong | Edited by Josh Lee

We’re all law and tech scholars now, says every law and tech sceptic. That is only half-right. Law and technology is about law, but it is also about technology. This is not obvious in many so-called law and technology pieces which tend to focus exclusively on the law. No doubt this draws on what Judge Easterbrook famously said about three decades ago, to paraphrase: “lawyers will never fully understand tech so we might as well not try”.

In open defiance of this narrative, LawTech.Asia is proud to announce a collaboration with the Singapore Management University Yong Pung How School of Law’s LAW4032 Law and Technology class. This collaborative special series is a collection featuring selected essays from students of the class. Ranging across a broad range of technology law and policy topics, the collaboration is aimed at encouraging law students to think about where the law is and what it should be vis-a-vis technology.

This piece, written by Loh Yu Tong, demonstrates how Singapore’s present criminal framework is ill-prepared to address offensive speech made by autonomous AI chatbots. The author examines the possible regulatory challenges that may arise, and identifies a negligence-based framework – under which a duty of care is imposed on developers, deployers and malicious third-party interferes – to be preferable over an intent-based one. Other viable solutions include employing regulatory and civil sanctions. While AI systems are likely to become more complex in the future, the author holds out hope that Singapore’s robust legal system can satisfactorily balance the deterrence of harm against the risk of stifling innovation.

The medico-legal dilemmas of the regulation of telemedicine and AI in Singapore’s healthcare context

Reading time: 21 minutes

Written by Pramesh Prabakaran (Associate Author) | Mentored by Huiling Xie | Reviewed by Nydia Remolina

LawTech.Asia is proud to have commenced the third run of its popular Associate Author (2020) Programme. The aim of the Associate Authorship Programme is to develop the knowledge and exposure of student writers in the domains of law and technology, while providing them with mentorship from LawTech.Asia’s writers and tailored guidance from a respected industry mentor.

In partnership with the National University of Singapore’s alt+law and Singapore Management University’s Legal Innovation and Technology Club, five students were selected as Associate Authors. This piece, written by Pramesh Prabakaran and reviewed by industry reviewer Nydia Remolina (SMU School of Law), marks the fourth thought piece in this series. It examines the benefits, risks, and regulatory and legal issues that could arise in relation to the growing trend of telemedicine and AI in Singapore’s context.

The Use, Issues and Policies of Legal Technology for Lawyers and In-House Counsel

Reading time: 19 minutes

Written by Johanna Lim Ziyun (Associate Author) | Mentored by Nisha Rajoo | Reviewed by Edmund Koh

LawTech.Asia is proud to have commenced the third run of its popular Associate Author (2020) Programme. The aim of the Associate Authorship Programme is to develop the knowledge and exposure of student writers in the domains of law and technology, while providing them with mentorship from LawTech.Asia’s writers and tailored guidance from a respected industry mentor.

In partnership with the National University of Singapore’s alt+law and Singapore Management University’s Legal Innovation and Technology Club, five students were selected as Associate Authors. This piece, written by Johanna Lim and reviewed by industry reviewer Edmund Koh (China Telecom Asia Pacific), marks the third thought piece in this series. It scans the landscape of lawyers and technology, and sets out steps that lawyers should take to meet a future technologically-driven paradigm.

The Future of Artificial Intelligence and Intellectual Property Rights

Reading time: 12 minutes

Written by Samuel Chan Zheng Wen (Associate Author) | Mentored by Lenon Ong | Reviewed by Associate Professor Saw Cheng Lim

LawTech.Asia is proud to have commenced the third run of its popular Associate Author (2020) Programme. The aim of the Associate Authorship Programme is to develop the knowledge and exposure of student writers in the domains of law and technology, while providing them with mentorship from LawTech.Asia’s writers and tailored guidance from a respected industry mentor.

In partnership with the National University of Singapore’s alt+law and Singapore Management University’s Legal Innovation and Technology Club, five students were selected as Associate Authors. This piece by Samuel Chan, reviewed by industry reviewer Associate Professor Saw Cheng Lim (Singapore Management University School of Law), marks the first thought piece in this series. It examines the future of artificial general intelligence and intellectual property rights.

The Epistemic Challenge Facing the Regulation of AI: LRD Colloquium Vol. 1 (2020/07)

Reading time: 25 minutes

Written by Josh Lee* and Tristan Koh**

Editor’s note: This article was first published by the Law Society of Singapore as part of its Legal Research and Development Colloquium 2020. It has been re-published with the permission of the Law Society of Singapore and the article’s authors. Slight adaptations and reformatting changes have been made for readability.

ABSTRACT

The increased interest in artificial intelligence (‘AI’) regulation stems from increased awareness about its risks. This suggests the need for a regulatory structure to preserve safety and public trust in AI. A key challenge, however, is the epistemic challenge. This paper posits that to effectively regulate the development and use of AI (in particular, deep learning systems), policymakers need a deep understanding of the technical underpinnings of AI technologies and the ethical and legal issues arising from its adoption. Given that AI technologies will impact many sectors, the paper also explores the challenges of applying AI technologies in the legal industry as an example of industry-specific epistemic challenges. This paper also suggests possible solutions: the need for interdisciplinary knowledge, the introduction of baseline training in technology for legal practitioners and the creation of a corps of allied legal professionals specialising in the implementation of AI.

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